Prof. Thu Pham-Gia
Department
of mathematics and statistics
Université de Moncton, Canada
Email: thu.pham-gia@umoncton.ca
Qualifications
1972 Ph.D., University of Toronto,
UK
1969 M.S., University of Hawaii, USA
1966 B.S., Université de
Saigon, USA
Publications (Selected)
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PHAM-GIA, T. and N. TURKKAN (2009a) Testing a Covariance Matrix: Exact
Distribution of its Likelihood Criterion. Journal of Statistical Computation
and Simulation, 79, 11, 1331-1340.
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PHAM-GIA, T., KARDOUCHI, M., HERVET et
NYIUMGERE, F. (2009b) Eye Recognition using a statistical approach. Advances in
Statistics and Applications, 2, 12, 209-223.
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PHAM-GIA, T. (2009c) The Multivariate Selberg Beta Distribution. Statistics, 43, 65-79.
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PHAM-GIA, T. and N. TURKKAN (2010a) Exact Expression of the Density of
the Sample Generalized Sample Variance and Applications. Statistical Papers,
51, 4, 931-945.
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PHAM-GIA, T. and VOVAN, T (2010b) Clustering
Probability Densitie. Journal of Applied Statistics, 37, 11, 1891-1910.
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PHAM-GIA, T. et AUCOIN, F. (2010c) A Multi-purpose Table for Bayesian
computations. Interstat, numéro de Mai 2010.
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PHAM-GIA, T. and N. TURKKAN (2010d) Testing
Sphericity using Small Samples. Statistics, 44, 6, 2010, 1029-1041.
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PHAM-GIA, T. and N. TURKKAN (2011a) Distribution of the ratio: From
Random Variables to Random Matrices, American Open Journal of Statistics, 1,
93-104.
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PHAM-GIA, T. and N. TURKKAN ( 2011b) Testing
several Covariance Matrices. Journal of statistical Computation and Simulation,
2011, Vol. 81, Issue 10, 1233-1246.
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PHAM-GIA, T.(2008a) Exact expression of Wilks’s Statistic and
Applications. Journal of Multivariate Analysis, 1999, 1698-1716.
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PHAM-GIA, T. and N. TURKKAN (2008b) Exact
Small Sample Size Determination in the Bayesian Analysis of a 2x 2 Contingency
Table with Dependent roportions. Statistics, Vol. 42, Issue 2, 2008, 127–147.
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PHAM-GIA, T. , N. TURKKAN and VOVAN, T., ( 2008c) Statistical Discrimination Analysis
Using the Maximum Function. Communic. in Stat., Computation and Simulation, 37,
Issue 2, 320–336.
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PHAM-GIA, T. and N. TURKKAN (2007a) Stress-strength Reliability: the
Multivariate Case. IEEE Trans. on Reliability, 56, 1, 115-124.
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PHAM-GIA, T. and N. TURKKAN (2007b) The
Joint Posterior-Predictive Method in the Bayesian Analysis of Stress-Stregth
Reliability. Intern. Journ. of Reliability, Quality and Safety Engineering. 14,
1, 29-48.
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15. PHAM-GIA, T., N. TURKKAN AND A. BEKKER (2007c) Bounds for the Bayes Error in
Classification. Statistical Methods and Applications, 16, 7-26.
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PHAM-GIA, T.(2007d) The Wilks’s Statistic of
the Second Type, Proceedings Intern. Stat. Inst., 56, ISI, Lisbonne, August
2007.
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PHAM-GIA, T., N. TURKKAN AND A. BEKKER (2006a) Bayesian Analysis in the L1 norm of
the Mixing Proportion, using Discriminant Analysis. Metrika, 64, 2006, 1-22.
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PHAM-GIA, T. and A. BEKKER(2006b) Sample
Size Determination using Bayesian Decision Criteria under Absolute Value loss
Function. American Journal Of Mathematical and Management Sciences, 25, 259-291.
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PHAM-GIA, T., N. TURKKAN AND E. MARCHAND (2006c) Distribution of the Ratio of Normal
Variables. Commun. in Stat, Theory and Methods, 35, 1569-1591.
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PHAM-GIA, T. and N. TURKKAN, (2005a) Distributions of Ratios of random
Variables from the Power-Quadratic Exponential family and Applications.
Statistics, 39, 4, 355-372.
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PHAM-GIA, T. and N. TURKKAN, (2005b) Bayesian Decision Criteria in the Presence of Noises, under Quadratic and
Absolute Value Loss Functions. Statistical Papers, 46, 247-266.
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PHAM-GIA, T. and N. TURKKAN (2005c) Determination of the Exact Sample
Sizes in the Bayesian Estimation of the Odds Ratio: the Independence case,
Proceedings of the 2004 Compstat. Conference, Prague, 1645-1652.
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PHAM-GIA, T. and N. TURKKAN (2004) Exact
Bayesian Estimation of System Reliability with Potential Misclassifications in
Sampling. Intern. Journ. of Reliability,Quality and Safety Engineering, 11, 3, 223-241.
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PHAM-GIA, T. and N. TURKKAN (2003c) Standby System Availability using
Gamma Approximation. American Journal of Mathematical and Management Sciences,
23, 4, 239-265.
Profile Details
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